Search Results - (( group evaluation method algorithm ) OR ( waste detection method algorithm ))
Search alternatives:
- group evaluation »
- method algorithm »
- waste detection »
-
1
-
2
An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Published 2024“…In conclusion, the work demonstrates a novel method for using machine learning algorithms to classify, identify, and predict the contamination level of leftover cooked food, contributing to reducing food waste generated primarily by Malaysians…”
Get full text
Get full text
Get full text
Get full text
Article -
3
Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
Published 2017“…Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.…”
Get full text
Get full text
Thesis -
4
RGB and RGNIR image dataset for machine learning in plastic waste detection
Published 2025“…The increasing volume of plastic waste is an environmental issue that demands effective sorting methods for different types of plastic. …”
Get full text
Get full text
Get full text
Article -
5
Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
Published 2004“…First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. …”
Get full text
Get full text
Thesis -
6
-
7
Fault detection and diagnosis for gas density monitoring using multivariate statistical process control
Published 2011“…Therefore, an efficient fault detection and diagnosis algorithm needs to be developed to detect faults that are present in a process and pinpoint the cause of these detected faults. …”
Get full text
Get full text
Get full text
Article -
8
PCB defect detection system using run-length encoding
Published 2017“…The secondary objective is to design run-length encoding algorithm able to detect and classify the defect of printed circuit board (PCB). …”
Get full text
Get full text
Student Project -
9
Review of the research landscape of multi-criteria evaluation and bench- marking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended so...
Published 2020“…Evaluation and benchmarking of many-objective optimization (MaOO) methods are complicated. …”
Get full text
Get full text
Article -
10
Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006“…The results of the SOM neural networks, Wards and Group-Average methods are evaluated for the clustering of different biologically active chemical molecules that can be used as drug like compounds based on topological descriptors. …”
Get full text
Get full text
Conference or Workshop Item -
11
Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Published 2006“…The results of the SOM neural networks, Wards and Group-Average methods are evaluated for the clustering of different biologically active chemical molecules that can be used as drug like compounds based on topological descriptors. …”
Get full text
Get full text
Conference or Workshop Item -
12
-
13
Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In order to address the above mentioned challenges, this study is devoted towards the development of a clusterer and a clustering ensemble learning method based on incremental genetic algorithms addressing group unlabeled samples. …”
Get full text
Get full text
Thesis -
14
Group method of data handling with artificial bee colony in combining forecasts
Published 2018“…This study is done by combining individual forecasts of Group Method of Data Handling models using the weighted-based combine approach. …”
Get full text
Get full text
Article -
15
Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD)
Published 2020“…The results of the evaluation show that the proposed approach exemplified the state-of-the-art method with significant differences in most of the datasets tested.…”
Get full text
Get full text
Get full text
Article -
16
Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…Performance evaluation shows that XTS exhibits faster speed when an RC6 encryption algorithm is used, compared to other encryption algorithms such as AES and Twofish. …”
Get full text
Get full text
Thesis -
17
-
18
Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
Published 2024“…The complexity of compositional data with missing values renders traditional estimation methods inadequate. In this thesis, a compositional data imputation method designed based on LASSO is proposed combining group LASSO and adaptive LASSO analysis methods. …”
Get full text
Get full text
Thesis -
19
Grouping based radio frequency identification anti-collision protocols for dense internet of things application
Published 2022“…This paper analyzes selected grouping-based algorithms. Their underlining principles are discussed including their tag estimation methods. …”
Get full text
Get full text
Article -
20
Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)
“…The developed algorithm weighted the n objects contribution in explaining the separation between groups. …”
Get full text
Get full text
Monograph